@conference {Polo-Lopez2018424,
	title = {A Compact Lenslet as an Alternative to Corrugated Horns for Astronomy Applications},
	booktitle = {2018 48th European Microwave Conference, EuMC 2018},
	year = {2018},
	note = {cited By 0},
	pages = {424-427},
	doi = {10.23919/EuMC.2018.8541409},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059804919\&doi=10.23919\%2fEuMC.2018.8541409\&partnerID=40\&md5=eb57c7e053163f0fc1518ec052f0c4c5},
	author = {Polo-Lopez, L. and Pisano, G. and Ruiz-Cruz, J.A. and J C{\'o}rcoles}
}
@article {16_AWPL_JUAN-CORCOLES_CAD_SLOTTED_ANTENNA,
	title = {Computer Automated Design of an Irregular Slotted Waveguide Array for Ku-Band},
	journal = {IEEE Antennas and Wireless Propagation Letters},
	volume = {15},
	year = {2016},
	pages = {1593-1597},
	abstract = {A computer automated design methodology to synthesize a progressive wave array antenna is presented. The proposed method is based on the generalized-scattering matrix and spherical wave expansion analysis of the array. Mutual coupling effects between radiating elements are inherently considered in the design process. A linearly polarized 24-element irregular slotted array antenna at Ku-band is presented to describe the proposed computer automated design methodology. A prototype has been manufactured to experimentally validate the antenna performance. At the design frequency (17 GHz), 15.9 dB realized gain and 97\% efficiency (excluding aluminum losses) values are achieved. Although the array is designed at a single frequency, it shows an overall experimental 7\% usable bandwidth.},
	keywords = {Array antenna, computer automated design, generalized scattering matrix, slot, spherical wave expansion},
	issn = {1536-1225},
	doi = {10.1109/LAWP.2016.2517928},
	url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7381600},
	author = {J C{\'o}rcoles and P Sanchez-Olivares and J Rubio and J L Masa-Campos and J. Zapata}
}
@article {15_PMB_ConvexImplant,
	title = {Convex optimization of MRI exposure for mitigation of RF-heating from active medical implants},
	journal = {Physics in Medicine and Biology},
	volume = {60},
	number = {18},
	year = {2015},
	pages = {7293},
	abstract = {Local RF-heating of elongated medical implants during magnetic resonance imaging (MRI) may pose a significant health risk to patients. The actual patient risk depends on various parameters including RF magnetic field strength and frequency, MR coil design, patient{\textquoteright}s anatomy, posture, and imaging position, implant location, RF coupling efficiency of the implant, and the bio-physiological responses associated with the induced local heating. We present three constrained convex optimization strategies that incorporate the implant{\textquoteright}s RF-heating characteristics, for the reduction of local heating of medical implants during MRI. The study emphasizes the complementary performances of the different formulations. The analysis demonstrates that RF-induced heating of elongated metallic medical implants can be carefully controlled and balanced against MRI quality. A reduction of heating of up to 25 dB can be achieved at the cost of reduced uniformity in the magnitude of the $\#$$\#$IMG$\#$$\#$ [http://ej.iop.org/images/0031-9155/60/18/7293/pmb516939ieqn001.gif] {$B_{1}^{+} $} field of less than 5\%. The current formulations incorporate a priori knowledge of clinically-specific parameters, which is assumed to be available. Before these techniques can be applied practically in the broader clinical context, further investigations are needed to determine whether reduced access to a priori knowledge regarding, e.g. the patient{\textquoteright}s anatomy, implant routing, RF-transmitter, and RF-implant coupling, can be accepted within reasonable levels of uncertainty.},
	url = {http://stacks.iop.org/0031-9155/60/i=18/a=7293},
	author = {J C{\'o}rcoles and E Zastrow and N. Kuster}
}
@article {08_MOPT_CORCOLES_CADstackedpatches,
	title = {Cad of stacked patch antennas through multipurpose admittance matrices from FEM and neural networks},
	journal = {Microwave and Optical Technology Letters},
	volume = {50},
	number = {9},
	year = {2008},
	month = {Sep},
	pages = {2411-2416},
	abstract = {In this work, a novel computer-aided design methodology for probe-fed, cavity-backed, stacked microstrip patch antennas is proposed. The methodology incorporates the rigor of a numerical technique, such as finite element methods, which, in turn, makes use of a newly developed procedure (multipurpose admittance matrices) to carry out a full-wave analysis in a given structure in spite of certain physical shapes and dimensions not yet being established. With the aid of this technique, we form a training set for a neural network, whose output is the desired response of the antenna according to the value of design parameters. Last, taking advantage of this neural network, we perform a global optimization through a genetic algorithm or simulated annealing to obtain a final design. The proposed methodology is validated through a real design whose numerical results are compared with measurements with good agreement.},
	keywords = {computer-aided design, finite element methods, neural networks, optimization algorithms, stacked microstrip antennas},
	issn = {1098-2760},
	doi = {10.1002/mop.23670},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/mop.23670/abstract},
	author = {J C{\'o}rcoles and Gonz{\'a}lez, M A and Zapata, J}
}
